Chitkara University (Patiala) Faculty

Patiala, PunjabPrivate UniversityEstd 2002NAAC Grade A+ 3.2

Chitkara University (Patiala) Faculty Details

Dr Rajnish Sharma
Professor
Dr Monit Kapoor
Professor
Dr Devendra Prasad
Professor
Dr. Neeraj Anand
Professor
Dr. Keerti Bhusan Pradhan
Professor
Dr. Sandhir Sharma
Professor
Professor
Dr Reecha Madan
Department of Pharmacognosy
Professor
Dr Anju Goyal
Department of Pharmaceutical Chemistry
Professor
Dr Ashish K Rehni
Department of Pharmacology
Dr. Kiranjeet Kaur
Assistant Professor
Dr. Varsha Singh
Assistant Professor
Ms. Chanchal Kaushik
Assistant Professor

Chitkara University (Patiala) Faculties : Students' Opinion

AI-Generated Summary based on 1088 Reviews

The faculty at this college is highly qualified, with many holding PhD degrees and possessing substantial industry and academic experience. The faculty-to-student ratio varies, with some accounts suggesting a ratio of 1:30, while others mention a ratio as high as 1:80. The teaching methods are interactive and focus on practical applications, which aids in student understanding.

Faculty members are approachable and available for doubt-clearing sessions both during and after college hours. The university adopts a modular examination system, including 3 sessional tests and 1 end-term exam per semester, with a minimum passing requirement of 40%. The faculty is generally supportive and cooperative, with some exceptions regarding teaching styles and approachability.

Overall, the faculty is regarded as knowledgeable and supportive, contributing positively to students' academic and career development.

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 By Collegedunia’s Personal AI

Why To Join Chitkara University (Patiala) - Reviews & Rating

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PRABHJOT SAINI
PRABHJOT SAINI
5.0Helpful
Reviewed on Jan 31, 2026(Enrolled 2024)

Faculty:

At Chitkara University, the faculty ratio is fair, with one teacher for a medium size class group. The teacher student bond is mostly good and many teachers are easy to approach after class or in lab hours. Doubt help is given if you ask. I liked my AI and data science teachers most because they use real code tasks and live demos. They focus on logic and not just notes. I did not like a few theory based teachers because they read slides and move fast, with less doubt time. So quality varies by subject and teacher. The course structure is split by sem with core and skill based subjects. Each sem has internals and end term exams. Internals include quiz, lab test, assign work, and code test. Marks are split between internal and final exam. In coding papers there is a fifty percent pass rule, so you must score half marks to pass. Exams are medium level if you do labs and practice code. Some students fail if they skip labs or copy work, but most pass with steady prep. The course plan is job linked and useful for tech and AI roles.
...Read More
Shahil Singh Rawat
Shahil Singh Rawat
4.0Helpful
Reviewed on Jan 31, 2026(Enrolled 2024)

Student Snaps:

Faculty:

faculty to student ratio is good . good realtionship between teacher and student . like mrs rakhi, mr sushil narang , mr kamaldeep garg i liked because they good responsibility. there is no who i disliked because everyone has there own way but overall the help us in growing. exam is medium to high. there 3 exams in semester 2 small and 1 end term. maximun students pass the exam . course curriculum is relevent.
...Read More
KABIR CHHABRA
KABIR CHHABRA
4.9Helpful
Reviewed on Jan 31, 2026(Enrolled 2024)

Faculty:

Faculty-to-student ratio is average — one professor handles around 50–60 students. Most teachers are approachable if I go to them personally, but they won’t chase me. The relationship depends on how proactive I am. Some professors are genuinely good — they explain concepts clearly and relate them to real-world applications instead of just reading slides. Those are the best ones. A few others rely heavily on PPTs and rush the syllabus, which makes classes feel mechanical. The exam system includes internal tests, assignments, a mid-sem exam, and an end-sem exam. Marks are usually split between internal assessment and final exam. Exams are moderate in difficulty. If I study regularly, they’re manageable. Most students pass unless they ignore attendance or don’t prepare. The curriculum is relevant to AI-ML basics, but it’s not very deep. Real skill depends on how much extra effort I put in outside class.
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College Ninja
4.4Helpful
Reviewed on Jan 30, 2026(Enrolled 2024)

Faculty:

There are mostly 1 or very rare 2 trainers and one teacher for a subject so the faculty to student ratio is pretty good , they are very helpful in case there's any type of doubt regarding their subjects Arouns 7 subjects in per semester in which 1 is Coursera which is online course which is simplest, around 1 swayam course which is very easy , 2-3 subjects are theory based , when it comes to tough there are 1 or mostly 2 subjects which are coding, they are not difficult but a little hard to understand
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Rishi Raj
Rishi Raj
3.3Helpful
Reviewed on Jan 30, 2026(Enrolled 2022)

Faculty:

The faculty-to-student ratio is fairly decent, roughly around 1:25–30, which allows reasonable interaction inside classrooms. Most faculty members are approachable, especially during working hours, after lectures, or before exams. If you are proactive and ask doubts, teachers are generally supportive, though a few are more rigid and exam-oriented. The faculty–student relationship is mostly professional, not overly strict. Some faculty members go the extra mile to help students with concepts, assignments, and even career guidance, while others stick strictly to the syllabus.
...Read More
Bhavya kapil
Bhavya kapil
4.1Helpful
Reviewed on Jan 29, 2026(Enrolled 2024)

Student Snaps:

Faculty:

the student ratio is 1:20-25 and also depends on the program and the faculty is very supportive in nature and approachable and especially in guiding projects , internships and placements . professors often encourage participation in research and extra curriculars
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Arsh sharma
4.3Helpful
Reviewed on Jan 25, 2026(Enrolled 2024)

Student Snaps:

Faculty:

The academic experience at Chitkara university is defined by a professional faculty to student ratio is 1:50 and favourite faculty are dr.gurpreet kaur and dr.ajay dogra,some faculties are rigid like I don't want to name, the relationship is formal as there are 75% attendence is mandatory and the exams are so easy and designed according to industry's curriculum. The ratio is 53% boys and 47% girls create a balance environment.
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Vanshika
4.0Helpful
Reviewed on Nov 16, 2025(Enrolled 2022)

Faculty:

we have some internal faculty and for some subjexts, we have trainers called out from different companies. approaching a trainer gets on high because they know only half of the part about the syllabus. main is known by the course coordinator or the spoke and reaching out to them is a task. the faculties i liked were Mr. Dinesh vij my mentor of 2nd year, Dr. Priyanka gupta, my mentor of 3rd year who has been a guide , these 2 professors helped me grow. i personally didn't like the wing commander of our wing, because he puts objection on every single thing. we have 4 exams in total per semester, 2-3 sessional tests and endterm, if you study hard and give your best, u can clear them
...Read More
abhishek rai
abhishek rai
3.1Helpful
Reviewed on Sep 18, 2025(Enrolled 2022)

Faculty:

faculty ratio chitkara university have 85:1 ration. in the class of 85 there is one teachers.teachers are friendly,qualified and easy to approch. chitkara has monthly exams system with 40% pass mark. chitkara has latest curruculam aligned with industry standerd especially for tech roles. it has cgpa based marking scheme.
...Read More
SIDHARTH MONGA
SIDHARTH MONGA
5.0Helpful
Reviewed on Jul 30, 2025(Enrolled 2023)

Faculty:

we have our exams on our laptops on testpad , in chitkara maintaining 7cgpa is quite easy and marking is fair , there are 3 exam in one sem name is st1 st2 and final exam and there weightage is 20:20:60
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Chitkara University (Patiala): 1 Answered Question

How is the faculty at Chitkara University (Patiala)?

Collegedunia Team
PRABHJOT SAINI

At Chitkara University, the faculty ratio is fair, with one teacher for a medium size class group. The teacher student bond is mostly good and many teachers are easy to approach after class or in lab hours. Doubt help is given if you ask. I liked my AI and data science teachers most because they use real code tasks and live demos. They focus on logic and not just notes. I did not like a few theory based teachers because they read slides and move fast, with less doubt time. So quality varies by subject and teacher. The course structure is split by sem with core and skill based subjects. Each sem has internals and end term exams. Internals include quiz, lab test, assign work, and code test. Marks are split between internal and final exam. In coding papers there is a fifty percent pass rule, so you must score half marks to pass. Exams are medium level if you do labs and practice code. Some students fail if they skip labs or copy work, but most pass with steady prep. The course plan is job linked and useful for tech and AI roles.

...Read More
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